{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
      "  \"This module will be removed in 0.20.\", DeprecationWarning)\n",
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.stats as stats\n",
    "import seaborn as sns\n",
    "from sklearn import preprocessing\n",
    "from sklearn.cross_validation import train_test_split\n",
    "import random\n",
    "import cPickle as pickle\n",
    "%matplotlib inline\n",
    "pd.set_option(\"display.max_colwidth\",100)\n",
    "sns.set(style=\"ticks\", color_codes=True)\n",
    "\n",
    "np.random.seed(1337)\n",
    "import keras\n",
    "\n",
    "from keras.preprocessing import sequence\n",
    "from keras.optimizers import RMSprop\n",
    "from keras.models import Sequential\n",
    "from keras.layers.core import Dense\n",
    "from keras.layers.core import Dropout\n",
    "from keras.layers.core import Activation\n",
    "from keras.layers.core import Flatten\n",
    "from keras.layers.convolutional import Convolution1D, MaxPooling1D\n",
    "from keras.constraints import maxnorm\n",
    "from keras.callbacks import ModelCheckpoint, EarlyStopping\n",
    "\n",
    "### Plotting settings ###\n",
    "plt.rcParams['font.weight'] = 'normal'\n",
    "plt.rcParams['axes.labelweight'] = 'normal'\n",
    "plt.rcParams['axes.labelpad'] = 5\n",
    "plt.rcParams['axes.linewidth']= 2.5\n",
    "plt.rcParams['xtick.labelsize']= 20\n",
    "plt.rcParams['ytick.labelsize']= 20\n",
    "plt.rcParams['axes.labelsize'] = 20\n",
    "plt.rcParams['figure.dpi'] = 200\n",
    "plt.rcParams['lines.linewidth'] = 7\n",
    "plt.rcParams['legend.markerscale'] = 1.5\n",
    "plt.rcParams['legend.fontsize'] = 10\n",
    "plt.rcParams['xtick.major.size'] = 8\n",
    "plt.rcParams['ytick.major.size'] = 8\n",
    "plt.rcParams['xtick.minor.size'] = 8\n",
    "plt.rcParams['ytick.minor.size'] = 8\n",
    "plt.rcParams['xtick.minor.width'] = 3\n",
    "plt.rcParams['ytick.minor.width'] = 3\n",
    "plt.rcParams['xtick.major.width'] = 2.5\n",
    "plt.rcParams['ytick.major.width'] = 2.5\n",
    "plt.rcParams['axes.facecolor'] = 'white'\n",
    "plt.rcParams['figure.autolayout'] = True\n",
    "plt.rcParams['mathtext.default'] = 'regular'\n",
    "plt.rcParams['xtick.color'] = 'black'\n",
    "plt.rcParams['ytick.color'] = 'black'\n",
    "plt.rcParams['axes.labelcolor'] = \"black\"\n",
    "plt.rcParams['axes.edgecolor'] = 'black'\n",
    "\n",
    "class snv():\n",
    "    def __init__(self, norm_seq, hgvs, dbsnp, fasta, non_snv_seq, snv_genome_pos, rel_pos, snv_seq, strand, instruction,\n",
    "                 snv_type, fragment_start, fragment_end):\n",
    "        self.norm_seq = norm_seq\n",
    "        self.hgvs = hgvs\n",
    "        self.dbsnp = dbsnp\n",
    "        self.fasta = fasta\n",
    "        self.non_snv_seq = non_snv_seq\n",
    "        self.snv_genome_pos = snv_genome_pos\n",
    "        self.rel_pos = rel_pos\n",
    "        self.snv_seq = snv_seq\n",
    "        self.strand = strand\n",
    "        self.instruction = instruction\n",
    "        self.snv_type = snv_type\n",
    "        self.fragment_start = fragment_start\n",
    "        self.fragment_end = fragment_end\n",
    "        self.show_change_seqs = []\n",
    "        self.changed_seqs = []\n",
    "        \n",
    "    def __repr__(self):\n",
    "        return 'Entry: {} \\t {} \\t {} \\t {} \\nNormal seq: {}'.format(self.hgvs, self.instruction, self.strand,\n",
    "                                                                      self.snv_type, self.norm_seq)\n",
    "    def __str__(self):\n",
    "        return 'Entry: {} \\t {} \\t {} \\t {} \\nNormal seq: {}'.format(self.hgvs, self.instruction, self.strand,\n",
    "                                                                      self.snv_type, self.norm_seq)\n",
    "\n",
    "def test_data(df, model, test_seq, obs_col, output_col='pred'):\n",
    "    scaler = preprocessing.StandardScaler()\n",
    "    scaler.fit(df[obs_col].reshape(-1,1))\n",
    "    #df.loc[:,'obs_stab'] = test_df['stab_df']\n",
    "    predictions = model.predict(test_seq).reshape(-1)\n",
    "    df.loc[:,output_col] = scaler.inverse_transform(predictions)\n",
    "    return df\n",
    "\n",
    "def one_hot_encode(df, col='utr', seq_len=50):\n",
    "    # Dictionary returning one-hot encoding of nucleotides. \n",
    "    nuc_d = {'a':[1,0,0,0],'c':[0,1,0,0],'g':[0,0,1,0],'t':[0,0,0,1], 'n':[0,0,0,0]}\n",
    "    \n",
    "    # Creat empty matrix.\n",
    "    vectors=np.empty([len(df),seq_len,4])\n",
    "    \n",
    "    # Iterate through UTRs and one-hot encode\n",
    "    for i,seq in enumerate(df[col].str[:seq_len]): \n",
    "        seq = seq.lower()\n",
    "        a = np.array([nuc_d[x] for x in seq])\n",
    "        vectors[i] = a\n",
    "    return vectors\n",
    "\n",
    "def r2(x,y):\n",
    "    slope, intercept, r_value, p_value, std_err = stats.linregress(x,y)\n",
    "    return r_value**2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SNV data - includes phenotype, dbSNP, clnacc, etc. The predictions are from the retrained model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('./data/snv_phenotype_log_diff.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3002\n",
      "1996\n",
      "1584\n",
      "Pathogen group: 72    Benign group: 258    Uncertain group: 751\n"
     ]
    }
   ],
   "source": [
    "print len(df)\n",
    "sub = df[df['obs_diff'] != 0.0]\n",
    "print len(sub)\n",
    "\n",
    "# Select high quality data - average 30 reads per fraction\n",
    "sub = sub[sub['total'] >= 620]\n",
    "print len(sub)\n",
    "\n",
    "path_list = ['Pathogenic', 'Likely pathogenic', 'Pathogenic, other', 'Pathogenic/Likely pathogenic']\n",
    "benign_list = ['Benign/Likely benign', 'Benign', 'Likely Benign']\n",
    "uncertain_list = ['Conflicting interpretations of pathogenicity', 'Uncertain significance']\n",
    "\n",
    "path = sub[(sub['clin_sig'] == path_list[0]) | (sub['clin_sig'] == path_list[1]) |\n",
    "           (sub['clin_sig'] == path_list[2]) | (sub['clin_sig'] == path_list[3])]\n",
    "non = sub[(sub['clin_sig'] == benign_list[0]) | (sub['clin_sig'] == benign_list[1]) | (sub['clin_sig'] == benign_list[2])]\n",
    "unsure = sub[(sub['clin_sig'] == uncertain_list[0]) | (sub['clin_sig'] == uncertain_list[1])]\n",
    "#conflict = sub[sub['clin_sig'] == 'Conflicting interpretations of pathogenicity']\n",
    "\n",
    "\n",
    "print 'Pathogen group: {}    Benign group: {}    Uncertain group: {}'.format(len(path), len(non), len(unsure))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5531236123768031\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/matplotlib/font_manager.py:1320: UserWarning: findfont: Font family [u'sans-serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n",
      "/usr/local/lib/python2.7/dist-packages/matplotlib/figure.py:2022: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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PD48Gj7l16xaWLFmCpKQkZGVl4ZtvvsH8+fObbLcl8vLykJeXh/Hjx+Ojjz6ql8x/++23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\nQRdkCP7b1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5DL/gT10rfBSaAqeTzPIxaLkcvl6O7upqGhgZqaGtrb2/GEjSdsnGV3UXGm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AXI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9qyZYvDfP/85z/LnMvbJ+k6ceKEw++FZs2aGbm5uabWVpp/16+//tro06dPiRMM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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f658a62bfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "r_squared = r2(sub['log_pred_diff'], sub['log_obs_diff'])\n",
    "print r_squared\n",
    "\n",
    "f, ax = plt.subplots()\n",
    "f.set_size_inches((5,5))\n",
    "point_size = 40\n",
    "\n",
    "ax.scatter(unsure['log_obs_diff'], unsure['log_pred_diff'], alpha=0.8, color='grey', label='Uncertain',\n",
    "           linewidth=1, edgecolors='k', s=point_size)\n",
    "ax.scatter(non['log_obs_diff'], non['log_pred_diff'], alpha=0.8, color='dodgerblue', label='Benign / likely',\n",
    "           linewidth=1, edgecolors='k', s=point_size)\n",
    "ax.scatter(path['log_obs_diff'], path['log_pred_diff'], alpha=0.8, color='orangered', label='Pathogenic / likely',\n",
    "           linewidth=1, edgecolors='k', s=point_size)\n",
    "\n",
    "ax.set_ylabel('Pred. MRL Change (log$_2$)')\n",
    "ax.set_xlabel('Obs. MRL Change (log$_2$)')\n",
    "ax.set_xlim((-2, 2))\n",
    "ax.set_ylim((-2, 2))\n",
    "ax.set_xticks(range(-2,3))\n",
    "ax.set_yticks(range(-2,3))\n",
    "ax.hlines(y=0,xmin=-2, xmax=2, linestyles='dashed', linewidth=1)\n",
    "ax.vlines(x=0,ymin=-2, ymax=2, linestyles='dashed', linewidth=1)\n",
    "ax.text(x=0.69, y=0.03, s='r$^2$: ' + str(round(r_squared, 3)), transform=ax.transAxes, size=16)\n",
    "ax.legend(loc=(-0.02,0.79), handletextpad=-0.2, fontsize=11.5)\n",
    "ax.xaxis.set_ticks_position('bottom')\n",
    "ax.yaxis.set_ticks_position('left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
